X-ray Images Classifications Using Optimized Deep Learning - Shubhajit Panda,Mahesh Jangid,Sandeep Chaurasia
-30% ar kodu BOOKS
Piegāde 12-18 darba dienu laikā
30 dienu atgriešanas politika
Deep Convolutional Neural Networks or simply Convolutional Neural Networks (CNN) have recently become one of the most powerful and expressive learning models for Image Pattern Recognition, Medical Image Processing, Computer Vision, Handwritten/ Optical Character Recognition, etc. that are well-versed in performing the Classification tasks, both Binary as well as Categorical in an efficient and simple manner ... Pilns apraksts
Jums varētu patikt arī
TOP
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
Eliezer Yudkowsky, Nate Soares
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Gödel, Escher, Bach: An Eternal Golden Braid
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
AI Engineering: Building Applications with Foundation Models
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Rust Programming Language
Steve Klabnik, Carol Nichols, Chris Krycho
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Art of Game Design: A Book of Lenses
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
How To Think About AI: A Guide For The Perplexed
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Pragmatic Programmer: journey to mastery, 20th Anniversary Edition, 2/e: your journey to mastery, 20th Anniversary Edition
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
HBR Guide to Generative AI for Managers
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Hackers. 25th Anniversary Edition: Heroes of the Computer Revolution
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Web Application Hacker's Handbook: Discovering and Exploiting Security Flaws
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
How Linux Works: What Every Superuser Should Know
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Artificial Intelligence: A Modern Approach, Global Edition
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Fundamentals of Software Architecture: A Modern Engineering Approach
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Speak Data: Artists, Scientists, Thinkers, and Dreamers on How We Live Our Lives in Numbers
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Linux Basics for Hackers, 2nd Edition: Getting Started with Networking, Scripting, and Security in Kali
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Mathematics for Machine Learning
Cheng Soon Ong, A. Aldo Faisal, Marc Peter Deisenroth
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
-30% ar kodu BOOKS
Piegādātāja noliktavā
Aprašymas
Deep Convolutional Neural Networks or simply Convolutional Neural Networks (CNN) have recently become one of the most powerful and expressive learning models for Image Pattern Recognition, Medical Image Processing, Computer Vision, Handwritten/ Optical Character Recognition, etc. that are well-versed in performing the Classification tasks, both Binary as well as Categorical in an efficient and simple manner. Besides its wide use in various fields and domains these days, it has gained high popularity and recognition in the area of Medical Science as various Medical reports these days are highly reliable on the Deep Learning based Image recognition. In this book, we trained a Deep Structured Neural Network Model, which is basically a CNN Model over a large set of X-RAY Images Dataset called MURA (Musculoskeletal Radiographs Abnormality) and tried to predict the Abnormalities of a Radiographic Image (whether an Image is Normal or Abnormal) based on Binary classifications.
Vairāk informācijas
| Autors | Shubhajit Panda, Mahesh Jangid, Sandeep Chaurasia |
|---|---|
| Izdevējs | LAP LAMBERT Academic Publishing |
| Izlaides gads | 2021 |
| Vāka tips | Mīkstais vāks |
| EAN | 9786203202656 |